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ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ" ИНН: 9704271170
описание
The application journey has 4 key steps: Phone call with Recruiter (30 mins); Initial behavioural video call with Hiring Manager (45 mins); Analytical interview (60 mins); Problem solving interview (60 mins).
Monzo offers personal and business bank accounts, joint accounts, accounts for 16–17-year-olds, kids’ accounts, credit cards, savings, investments, and pension services in the UK. The company aims to make money work for everyone and solve problems through its banking products.
задачи
Support the GM of Payments and leadership team in defining, tracking, and evolving Payments’ strategic direction
Analyze large, complex datasets to uncover insights, diagnose operational challenges, and design and implement scalable solutions
Build and maintain data-informed performance views across products, squads, and initiatives, and use insights to inform priorities and trade-offs
Partner with Product, Engineering, Data, and Design teams to connect ideas with strategic business execution
Lead monthly business reviews, reporting, and governance materials
Scope new opportunities through market sizing, commercial modelling, partnership evaluation, and budget and forecast analysis
Optimize the balance of KTLO, BAU, and growth work, and support resourcing and squad setup decisions
Ensure communication and alignment across Payment squads and other Monzo collectives
Support scaling the lending book and launch operations as Borrowing products expand into new geographies
Lead Payments All Hands, goals processes, and strategic forums
требования
Strong strategic thinking, systems thinking, and ability to anticipate future trends
Solve complex problems with analytical rigor, commercial viability, and execution certainty
Work independently in ambiguous, complex, and rapidly evolving environments
Connect teams, foster collaboration, and drive alignment without authority
Make trade-offs and prioritization decisions based on data, business impact, and resource constraints
Strong analytical skills and a proven track record of navigating large datasets to solve unstructured problems independently
Cross-functional experience with highly technical teams, such as Machine Learning and Data/Analytics Engineering
Motivation to improve team efficiency, scalability, and focus
условия
Incentive awards tied to performance
Flexible working hours
£1,000 Annual learning budget for books, training courses, and conferences
MacBook provided; fully remote workers receive extra support for their home-work setup
Occasional work from the London office is expected
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